Image De-Noising Using Deep Learning

Abstract:

Deep neural network as a part of deep learning algorithm is a state-of-the-art approach to find higher level representations of input data which has been introduced to many practical and challenging learning problems successfully. The primary goal of deep learning is to use large data to help solving a given task on machine learning. We propose an methodology for image de-noising project defined by this model and conduct training a large image database to get the experimental output. The result shows the robustness and efficient our our algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 641-642)
• Pages: 1287-1290
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.641-642.1287
• Online since: September 2014
• Authors: Lan Zhang*, Yu Feng Nie, Zhen Hai Wang
• Keywords: Deep Learning, Image De-Noising, Machine Learning (ML), Neural Network (NN)

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